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A Population Pharmacokinetic Model Does Not Predict the Optimal Starting Dose of Tacrolimus in Pediatric Renal Transplant Recipients in a Prospective Study: Lessons Learned and Model Improvement

机译:人口药代动力学模型在预期研究中没有预测小儿肾移植受者的最佳起始剂量:经验教训和模型改进

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Background and Objective Bodyweight-based dosing of tacrolimus is considered standard care. Currently, at first steady state, a third of pediatric kidney transplant recipients has a tacrolimus pre-dose concentration within the target range. We investigated whether adaptation of the starting dose according to a validated dosing algorithm could increase this proportion. Methods This was a multi-center, single-arm, prospective trial with a planned interim analysis after 16 patients, in which the tacrolimus starting dose was based on bodyweight, cytochrome P450 3A5 genotype, and donor status (living vs. deceased donor). Results At the interim analysis, 31% of children had a tacrolimus pre-dose concentration within the target range. As the original dosing algorithm was poorly predictive of tacrolimus exposure, the clinical trial was terminated prematurely. Next, the original model was improved by including the data of the children included in this trial, thereby doubling the number of children in the model building cohort. Data were best described with a two-compartment model with inter-individual variability, allometric scaling, and inter-occasion variability on clearance. Cytochrome P450 3A5 genotype, hematocrit, and creatinine influenced the tacrolimus clearance. A new starting dose model was developed in which the cytochrome P450 3A5 genotype was incorporated. Both models were successfully internally and externally validated. Conclusions The weight-normalized starting dose of tacrolimus should be higher in patients with a lower bodyweight and in those who are cytochrome P450 3A5 expressers.
机译:基于背景和目标体重的巨饰血症给药被认为是标准护理。目前,在第一次稳定状态下,三分之一的儿科肾移植受者在靶范围内具有巨晕前剂量浓度。我们研究了根据验证的计量算法的起始剂量的适应是否可以增加这种比例。方法这是一个多中心,单臂,前瞻性试验,16名患者在16名患者后进行了计划的临时分析,其中巨篷开始剂量基于体重,细胞色素P450 3A5基因型和供体状况(生活与死者的供体)。结果在临时分析中,31%的儿童在靶范围内具有巨大剂量浓度。由于原始计量算法预测到巨杆菌暴露的预测性差,临床试验过早地终止。接下来,通过包括本试验中包含的儿童的数据,从而改善了原始模型,从而使模型建筑队列中的儿童数倍加倍。数据最佳地用双隔室模型描述,具有间间可变性,同种异数缩放和间隙间隙的间隙。细胞色素P450 3A5基因型,血细胞比容和肌酐影响了他克莫司的间隙。开发了一种新的起始剂量模型,其中包含细胞色素P450 3A5基因型。两种模型都在内部和外部验证。结论患者体重低的患者的重量归一化的起克莫司的起始剂量应更高,并且是细胞色素P450 3A5表达者的患者。

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